{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "view-in-github"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/tomasonjo/blogs/blob/master/harry_potter/Harry_Potter_Karate_Club_integration.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-aWuO6deuj4U"
   },
   "source": [
    "* Updated to GDS 2.0 version\n",
    "* Link to original blog post: https://towardsdatascience.com/integrate-neo4j-with-karateclub-node-embedding-package-99715d73250a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Ln3_AG0uiTiW",
    "outputId": "f78e1075-d615-4570-ddfb-395337274495"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pandas in /usr/local/lib/python3.7/dist-packages (1.3.5)\n",
      "Collecting neo4j\n",
      "  Downloading neo4j-4.4.2.tar.gz (89 kB)\n",
      "\u001b[K     |████████████████████████████████| 89 kB 3.8 MB/s \n",
      "\u001b[?25hRequirement already satisfied: scikit-learn in /usr/local/lib/python3.7/dist-packages (1.0.2)\n",
      "Collecting karateclub\n",
      "  Downloading karateclub-1.2.3.tar.gz (62 kB)\n",
      "\u001b[K     |████████████████████████████████| 62 kB 548 kB/s \n",
      "\u001b[?25hRequirement already satisfied: python-dateutil>=2.7.3 in /usr/local/lib/python3.7/dist-packages (from pandas) (2.8.2)\n",
      "Requirement already satisfied: pytz>=2017.3 in /usr/local/lib/python3.7/dist-packages (from pandas) (2018.9)\n",
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      "Requirement already satisfied: scipy>=1.1.0 in /usr/local/lib/python3.7/dist-packages (from scikit-learn) (1.4.1)\n",
      "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn) (1.1.0)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.7/dist-packages (from scikit-learn) (3.1.0)\n",
      "Requirement already satisfied: networkx in /usr/local/lib/python3.7/dist-packages (from karateclub) (2.6.3)\n",
      "Requirement already satisfied: decorator==4.4.2 in /usr/local/lib/python3.7/dist-packages (from karateclub) (4.4.2)\n",
      "Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from karateclub) (4.64.0)\n",
      "Requirement already satisfied: python-louvain in /usr/local/lib/python3.7/dist-packages (from karateclub) (0.16)\n",
      "Collecting pygsp\n",
      "  Downloading PyGSP-0.5.1-py2.py3-none-any.whl (1.8 MB)\n",
      "\u001b[K     |████████████████████████████████| 1.8 MB 7.8 MB/s \n",
      "\u001b[?25hCollecting gensim>=4.0.0\n",
      "  Downloading gensim-4.1.2-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (24.1 MB)\n",
      "\u001b[K     |████████████████████████████████| 24.1 MB 2.2 MB/s \n",
      "\u001b[?25hCollecting python-Levenshtein\n",
      "  Downloading python-Levenshtein-0.12.2.tar.gz (50 kB)\n",
      "\u001b[K     |████████████████████████████████| 50 kB 2.8 MB/s \n",
      "\u001b[?25hRequirement already satisfied: smart-open>=1.8.1 in /usr/local/lib/python3.7/dist-packages (from gensim>=4.0.0->karateclub) (5.2.1)\n",
      "Requirement already satisfied: setuptools in /usr/local/lib/python3.7/dist-packages (from python-Levenshtein->karateclub) (57.4.0)\n",
      "Building wheels for collected packages: neo4j, karateclub, python-Levenshtein\n",
      "  Building wheel for neo4j (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "  Created wheel for neo4j: filename=neo4j-4.4.2-py3-none-any.whl size=115365 sha256=4941018e1ed8fd95da841b0f878d0b0b5fe7830d6ac387f5d42f17d2106a054f\n",
      "  Stored in directory: /root/.cache/pip/wheels/10/d6/28/95029d7f69690dbc3b93e4933197357987de34fbd44b50a0e4\n",
      "  Building wheel for karateclub (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "  Created wheel for karateclub: filename=karateclub-1.2.3-py3-none-any.whl size=97754 sha256=54c83ec56a4864ca4fc21b2856d5f7a4bcd86c3e0515fb8abe411b86176f8c1d\n",
      "  Stored in directory: /root/.cache/pip/wheels/7a/09/80/0d50455fd4e297e88f8f38a711c6f4849e6bd1a330000dde3d\n",
      "  Building wheel for python-Levenshtein (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
      "  Created wheel for python-Levenshtein: filename=python_Levenshtein-0.12.2-cp37-cp37m-linux_x86_64.whl size=149868 sha256=2ecbfbdcde0c31ee08f23a76147cc73a61fe17841cfe478691b3ab8124c62e24\n",
      "  Stored in directory: /root/.cache/pip/wheels/05/5f/ca/7c4367734892581bb5ff896f15027a932c551080b2abd3e00d\n",
      "Successfully built neo4j karateclub python-Levenshtein\n",
      "Installing collected packages: python-Levenshtein, pygsp, gensim, neo4j, karateclub\n",
      "  Attempting uninstall: gensim\n",
      "    Found existing installation: gensim 3.6.0\n",
      "    Uninstalling gensim-3.6.0:\n",
      "      Successfully uninstalled gensim-3.6.0\n",
      "Successfully installed gensim-4.1.2 karateclub-1.2.3 neo4j-4.4.2 pygsp-0.5.1 python-Levenshtein-0.12.2\n"
     ]
    }
   ],
   "source": [
    "!pip install pandas neo4j scikit-learn karateclub"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "pD8HtmZxidNG"
   },
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "import pandas as pd\n",
    "from neo4j import GraphDatabase\n",
    "# Change the host and user/password combination to your neo4j\n",
    "host = 'bolt://3.231.25.240:7687'\n",
    "user = 'neo4j'\n",
    "password = 'hatchets-visitor-axes'\n",
    "driver = GraphDatabase.driver(host,auth=(user, password))\n",
    "\n",
    "def read_query(query, params=None):\n",
    "    with driver.session() as session:\n",
    "        result = session.run(query, params)\n",
    "        return pd.DataFrame([r.values() for r in result], columns=result.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "KZr8Abs_b1hl"
   },
   "source": [
    "Lately, I have been on a quest to learn as much as possible about node embedding techniques. The goal of node embedding is to encode nodes so that the similarity in the embedding space approximates similarity in the original network. In layman’s terms, we encode each node to a fixed size vector that preserves the similarity of the original network.\n",
    "\n",
    "I have come across the [Karate Club](https://github.com/benedekrozemberczki/karateclub) package in my search for the implementation of various node embedding models. I will let the author Benedek Rozemberczki explain what its purpose is:\n",
    ">Karate Club consists of state-of-the-art methods to do unsupervised learning on graph structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science (NetSci, Complenet), data mining (ICDM, CIKM, KDD), artificial intelligence (AAAI, IJCAI) and machine learning (NeurIPS, ICML, ICLR) conferences, workshops, and pieces from prominent journals.\n",
    "\n",
    "The Karate Club project features:\n",
    "10+ community detection models\n",
    "25+ node embedding models\n",
    "10+ graph embedding models\n",
    "As you might know, I like to store my network information in Neo4j. In this blog post, I will demonstrate how to extract network information from Neo4j and use it as an input to the Karate Club API. It is a straightforward transformation. We have to transform a Neo4j graph to a NetworkX graph model, as Karate Club uses NetworkX structure, and we are good to go. \n",
    "\n",
    "#Data model\n",
    "We will use a simple toy graph of the Harry Potter universe that I have created in my previous blog post. I have prepared a CSV file with the network structure, so you don’t have to complete the NLP process yourself.\n",
    "\n",
    "The network is based on the Harry Potter and the Sorcerer’s Stone book. Nodes represent the character in the book, and the INTERACTS relationships represent co-occurrences in the text between characters. To import this network, execute the following Cypher query:\n",
    "P.s. If you are following along with the Colab notebook, I suggest you open a blank [Neo4j Sandbox project](https://neo4j.com/sandbox/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 81
    },
    "id": "EDYtEnBPikiu",
    "outputId": "7d658614-b8ed-42a7-a709-585a497461d0"
   },
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>import successful</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              result\n",
       "0  import successful"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# import data\n",
    "read_query(\"\"\"\n",
    "LOAD CSV WITH HEADERS FROM \"https://raw.githubusercontent.com/tomasonjo/blog-datasets/main/HP/hp_1.csv\" as row\n",
    "MERGE (s:Character{name:row.source})\n",
    "MERGE (t:Character{name:row.target})\n",
    "MERGE (s)-[r:INTERACTS]-(t)\n",
    "SET r.weight = row.weight\n",
    "RETURN distinct 'import successful' as result\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "t71ygjxRcuOK"
   },
   "source": [
    "Now that we have our network imported, we can examine the community structure and calculate the node embedding with the help of the Karate Club package.\n",
    "# Community detection\n",
    "For those of you that are completely new to Neo4j, I must let you know that Neo4j Graph Data Science plugin provides a couple of community detection algorithms out of the box. I will quickly demonstrate how to use the Louvain algorithm in the GDS library. First you have to project an in-memory graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 81
    },
    "id": "mex15wrau6zV",
    "outputId": "22175cae-6ff5-4c5a-8a77-eac28ff2d838"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nodeProjection</th>\n",
       "      <th>relationshipProjection</th>\n",
       "      <th>graphName</th>\n",
       "      <th>nodeCount</th>\n",
       "      <th>relationshipCount</th>\n",
       "      <th>projectMillis</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{'Character': {'label': 'Character', 'properti...</td>\n",
       "      <td>{'INTERACTS': {'orientation': 'UNDIRECTED', 'i...</td>\n",
       "      <td>got</td>\n",
       "      <td>119</td>\n",
       "      <td>812</td>\n",
       "      <td>284</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      nodeProjection  \\\n",
       "0  {'Character': {'label': 'Character', 'properti...   \n",
       "\n",
       "                              relationshipProjection graphName  nodeCount  \\\n",
       "0  {'INTERACTS': {'orientation': 'UNDIRECTED', 'i...       got        119   \n",
       "\n",
       "   relationshipCount  projectMillis  \n",
       "0                812            284  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "CALL gds.graph.project('got', 'Character', {INTERACTS:{orientation:'UNDIRECTED'}})\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Cp6fcVZRu8rY"
   },
   "source": [
    "Then you can execute any algorithm on the projected graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 142
    },
    "id": "BWPibvfActjL",
    "outputId": "a3b165b1-6b2f-49ec-8f84-f88c251dd378"
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>writeMillis</th>\n",
       "      <th>nodePropertiesWritten</th>\n",
       "      <th>modularity</th>\n",
       "      <th>modularities</th>\n",
       "      <th>ranLevels</th>\n",
       "      <th>communityCount</th>\n",
       "      <th>communityDistribution</th>\n",
       "      <th>postProcessingMillis</th>\n",
       "      <th>preProcessingMillis</th>\n",
       "      <th>computeMillis</th>\n",
       "      <th>configuration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>31</td>\n",
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       "      <td>0.348028</td>\n",
       "      <td>[0.28802264068528716, 0.3480277366594676]</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>{'p99': 29, 'min': 8, 'max': 29, 'mean': 17.0,...</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>3485</td>\n",
       "      <td>{'maxIterations': 10, 'writeConcurrency': 4, '...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   writeMillis  nodePropertiesWritten  modularity  \\\n",
       "0           31                    119    0.348028   \n",
       "\n",
       "                                modularities  ranLevels  communityCount  \\\n",
       "0  [0.28802264068528716, 0.3480277366594676]          2               7   \n",
       "\n",
       "                               communityDistribution  postProcessingMillis  \\\n",
       "0  {'p99': 29, 'min': 8, 'max': 29, 'mean': 17.0,...                     3   \n",
       "\n",
       "   preProcessingMillis  computeMillis  \\\n",
       "0                    0           3485   \n",
       "\n",
       "                                       configuration  \n",
       "0  {'maxIterations': 10, 'writeConcurrency': 4, '...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "CALL gds.louvain.write('got',{\n",
    "    writeProperty:'louvain'\n",
    "})\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "i0iCbJxSdC3I"
   },
   "source": [
    "A critical detail of the network analysis is that the interaction network between the characters is undirected. I won’t go into the algorithms’ theory or their pros and cons. The goal of this blog post is purely to help you get started with integrating Karate Club and Neo4j. The ideas and differentiation of the algorithms may come in another blog post. Now let’s run some algorithms in KC. KC only works when nodes in the graph have consecutive ids. I don’t know the reason behind this choice; that’s just how it is. We can easily create a mapping to consecutive ids and store it in Neo4j."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 81
    },
    "id": "N4mijxU8i7zw",
    "outputId": "f7621460-00a1-48ff-ed1c-96db8c64a6da"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>done</td>\n",
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       "</div>"
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      "text/plain": [
       "  result\n",
       "0   done"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# KarateClub only works on nodes with consecutive ids\n",
    "read_query(\"\"\"\n",
    "MATCH (c:Character)\n",
    "WITH count(*) as number, collect(c) as nodes\n",
    "UNWIND range(0, number - 1) as index\n",
    "WITH nodes[index] as node, index\n",
    "SET node.index = index\n",
    "RETURN distinct 'done' as result\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "uXfnlMoJja-S"
   },
   "outputs": [],
   "source": [
    "# Define character mapping\n",
    "character_mapping = read_query(\"\"\"\n",
    "MATCH (c:Character)\n",
    "WHERE exists { (c)-[:INTERACTS]-() }\n",
    "RETURN c.name as character, c.index as index\n",
    "ORDER BY index\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RExm6VXYdOa9"
   },
   "source": [
    "Now, we must export the relevant network data and construct a NetworkX graph model out of it. NetworkX graph can be constructed by only providing the edge list. The syntax of the edge list is:\n",
    "```\n",
    "[\"1 2 {'weight': 3}\", \"2 3 {'weight': 27}\", \"3 4 {'weight': 3.0}\"]\n",
    "```\n",
    "Now, we can go ahead and construct a NetworkX graph model of the Harry Potter universe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 319
    },
    "id": "kDXnmI6cjNrh",
    "outputId": "6fd9e026-50ca-414b-b3d4-311c64df4484"
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Construct a networkX graph\n",
    "edge_list = read_query(\"\"\"\n",
    "MATCH (s:Character)-[r:INTERACTS]->(t:Character)\n",
    "WITH toString(s.index) + \" \" + toString(t.index) + \" {'weight':\" + toString(r.weight)  + \"}\" as edge\n",
    "WITH collect(edge) as result\n",
    "RETURN result\n",
    "\"\"\")\n",
    "\n",
    "edge_list = edge_list['result'].to_list()[0]\n",
    "G = nx.parse_edgelist(edge_list, create_using=nx.Graph(), nodetype=int)\n",
    "nx.draw(G)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DkOH7iG1deLW"
   },
   "source": [
    "Take special care to the create_using parameter. In this case, I wanted to define an undirected graph, so I have used the nx.Graph option. If you are dealing with a directed graph or even a multigraph, choose the according create_using parameter.\n",
    "\n",
    "Now that we have constructed the NetworkX graph, we can go ahead and test KC algorithms. We will begin with a community detection algorithm BigClam. We will calculate the community structure and write the results back to Neo4j."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "K-q8oWR6jgPC"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tomaz/anaconda3/lib/python3.8/site-packages/gensim/similarities/__init__.py:15: UserWarning: The gensim.similarities.levenshtein submodule is disabled, because the optional Levenshtein package <https://pypi.org/project/python-Levenshtein/> is unavailable. Install Levenhstein (e.g. `pip install python-Levenshtein`) to suppress this warning.\n",
      "  warnings.warn(msg)\n"
     ]
    }
   ],
   "source": [
    "from karateclub.community_detection.overlapping import BigClam\n",
    "\n",
    "model = BigClam()\n",
    "model.fit(G)\n",
    "results = model.get_memberships()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 81
    },
    "id": "N5adb__ijyqB",
    "outputId": "32fa2a9b-68e9-474c-e598-45d321fe5826"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>done</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  result\n",
       "0   done"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = [{'index': int(el), 'value': int(results[el])} for el in results]\n",
    "read_query(\"\"\"\n",
    "UNWIND $data as row\n",
    "MATCH (c:Character{index:row.index})\n",
    "SET c.bigClam = row.value\n",
    "RETURN distinct 'done' as result\n",
    "\"\"\", {'data':data})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2OyJcLrydoer"
   },
   "source": [
    "KC API is very simple to use. You just define the desired graph algorithm and input the NetworkX graph model in the fit method and that’s it. Couldn’t be simpler than that.\n",
    "\n",
    "# Node embeddings\n",
    "Again, the Neo4j GDS library provides node embedding algorithms like FastRP, node2vec, and GraphSAGE. I will show the syntax for FastRP algorithm, but again, won’t delve much into hyper-parameter optimization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 81
    },
    "id": "G6WJX3-kduSv",
    "outputId": "08e9873f-5d07-467e-e96d-3973d779c745"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nodeCount</th>\n",
       "      <th>nodePropertiesWritten</th>\n",
       "      <th>preProcessingMillis</th>\n",
       "      <th>computeMillis</th>\n",
       "      <th>writeMillis</th>\n",
       "      <th>configuration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>119</td>\n",
       "      <td>119</td>\n",
       "      <td>0</td>\n",
       "      <td>100</td>\n",
       "      <td>106</td>\n",
       "      <td>{'writeConcurrency': 4, 'nodeSelfInfluence': 0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   nodeCount  nodePropertiesWritten  preProcessingMillis  computeMillis  \\\n",
       "0        119                    119                    0            100   \n",
       "\n",
       "   writeMillis                                      configuration  \n",
       "0          106  {'writeConcurrency': 4, 'nodeSelfInfluence': 0...  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "CALL gds.fastRP.write('got',{\n",
    "  embeddingDimension: 64,\n",
    "  writeProperty: 'fastrp'})\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MfyRm-_3dyCi"
   },
   "source": [
    "The embeddingDimension parameter is mandatory and defines the size of the embedding vector for each node. Other than that, we have again defined the interaction network to be treated as undirected.\n",
    "\n",
    "Now let’s try out some of the node embedding algorithms in the KC package. First, we will define a function that will draw a t-SNE scatter plot of embedding results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "mw9VEBndmVE8"
   },
   "outputs": [],
   "source": [
    "from sklearn.manifold import TSNE\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "def tsne(embeddings, hue=None):\n",
    "    tsne = TSNE(n_components=2, n_iter=300)\n",
    "    tsne_results = tsne.fit_transform(embeddings['embedding'].to_list())\n",
    "\n",
    "    embeddings['tsne_x'] = [x[0] for x in list(tsne_results)]\n",
    "    embeddings['tsne_y'] = [x[1] for x in list(tsne_results)]\n",
    "\n",
    "    plt.figure(figsize=(18,10))\n",
    "    sns.scatterplot(\n",
    "        x=\"tsne_x\", y=\"tsne_y\",\n",
    "        hue=hue,\n",
    "        palette=sns.color_palette(\"hls\", 10),\n",
    "        data=embeddings,\n",
    "        legend=\"full\",\n",
    "        alpha=0.9\n",
    "    )\n",
    "    \n",
    "    for i in range(df.shape[0]):\n",
    "        plt.text(x=df['tsne_x'][i]+0.3,y=df['tsne_y'][i]+0.3,s=df.character[i], \n",
    "              fontdict=dict(color='black',size=10),)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "CVj3tIdwd4cd"
   },
   "source": [
    "We will begin with the NetMF algorithm. NetMF algorithm fall into the community-based node embedding category. If you want to learn more about the technical details, read the original paper or examine the code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 675
    },
    "id": "-igmAtnql7OZ",
    "outputId": "30c30679-c69a-4a25-bfd6-882aa9de1afa"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tomaz/.local/lib/python3.8/site-packages/sklearn/manifold/_t_sne.py:795: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "/home/tomaz/.local/lib/python3.8/site-packages/sklearn/manifold/_t_sne.py:805: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from karateclub.node_embedding.neighbourhood import NetMF\n",
    "\n",
    "\"\"\"\n",
    "dimensions (int): Number of embedding dimension. Default is 32.\n",
    "iteration (int): Number of SVD iterations. Default is 10.\n",
    "order (int): Number of PMI matrix powers. Default is 2.\n",
    "negative_samples (in): Number of negative samples. Default is 1.\n",
    "seed (int): SVD random seed. Default is 42.\n",
    "\"\"\"\n",
    "\n",
    "model = NetMF(dimensions=64)\n",
    "model.fit(G)\n",
    "embedding = model.get_embedding()\n",
    "\n",
    "results = []\n",
    "for name,embedding in zip(character_mapping['character'].to_list(), embedding):\n",
    "    results.append({'character': name, 'embedding': embedding})    \n",
    "df = pd.DataFrame.from_dict(results)\n",
    "tsne(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "AvPxkrdGd8hG"
   },
   "source": [
    "The KC library also features the NEU algorithm. The procedure uses an arbitrary embedding and augments it by higher order proximities with a recursive meta learning algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 606
    },
    "id": "m-bOrtHMmhVd",
    "outputId": "56128b10-1d2b-447e-d395-c968c7257776"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tomaz/.local/lib/python3.8/site-packages/sklearn/manifold/_t_sne.py:795: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "/home/tomaz/.local/lib/python3.8/site-packages/sklearn/manifold/_t_sne.py:805: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from karateclub.node_embedding.meta import NEU\n",
    "\n",
    "\"\"\"\n",
    "L1 (float): Weight of lower order proximities. Defauls is 0.5\n",
    "L2 (float): Weight of higer order proximities. Default is 0.25.\n",
    "T (int): Number of iterations. Default is 1.\n",
    "seed (int): Random seed value. Default is 42.\n",
    "\"\"\"\n",
    "\n",
    "model = NetMF()\n",
    "meta_model = NEU(T=3)\n",
    "meta_model.fit(G, model)\n",
    "\n",
    "embedding = meta_model.get_embedding()\n",
    "results = []\n",
    "for name,embedding in zip(character_mapping['character'].to_list(), embedding):\n",
    "    results.append({'character': name, 'embedding': embedding})    \n",
    "df = pd.DataFrame.from_dict(results)\n",
    "tsne(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sdzt_FjjeBDB"
   },
   "source": [
    "Another node embedding category of algorithms is the structural role embedding category. Instead of capturing the similarity between nodes close in the network (neighbors), we want to capture the similarity between nodes with similar structural roles. One such algorithm is the Role2Vec algorithm.\n",
    "\n",
    "The default walk_length is 80. Given that our example graph has only 100+ nodes, I have decided to use a smaller walk_length value. Other than that, there is room for more hyper-parameter tweaking."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 675
    },
    "id": "RKFabIOmnL6O",
    "outputId": "8f94df1c-7ed4-47c3-aeb3-df8fc3cc0323"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tomaz/.local/lib/python3.8/site-packages/sklearn/manifold/_t_sne.py:795: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "/home/tomaz/.local/lib/python3.8/site-packages/sklearn/manifold/_t_sne.py:805: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from karateclub.node_embedding.structural import Role2Vec\n",
    "\n",
    "\"\"\"\n",
    "walk_number (int): Number of random walks. Default is 10.\n",
    "walk_length (int): Length of random walks. Default is 80.\n",
    "dimensions (int): Dimensionality of embedding. Default is 128.\n",
    "workers (int): Number of cores. Default is 4.\n",
    "window_size (int): Matrix power order. Default is 2.\n",
    "epochs (int): Number of epochs. Default is 1.\n",
    "learning_rate (float): HogWild! learning rate. Default is 0.05.\n",
    "down_sampling (float): Down sampling frequency. Default is 0.0001.\n",
    "min_count (int): Minimal count of feature occurrences. Default is 10.\n",
    "wl_iterations (int): Number of Weisfeiler-Lehman hashing iterations. Default is 2.\n",
    "seed (int): Random seed value. Default is 42.\n",
    "erase_base_features (bool): Removing the base features. Default is False.\n",
    "\"\"\"\n",
    "\n",
    "model = Role2Vec(walk_length=20)\n",
    "model.fit(G)\n",
    "embedding = model.get_embedding()\n",
    "\n",
    "results = []\n",
    "for name,embedding in zip(character_mapping['character'].to_list(), embedding):\n",
    "    results.append({'character': name, 'embedding': embedding})    \n",
    "df = pd.DataFrame.from_dict(results)\n",
    "tsne(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "H_ij2S-ze_NJ"
   },
   "source": [
    "Calculating node embedding based on node role similarity is an exciting field. Instead of comparing the closeness of nodes in the network, we want to capture the structural role similarity between nodes. Then, we can use the structural role embedding to infer a kNN network and run a community detection algorithm to try and segment the nodes based on their network roles. First, we have to store the Role2vec results back to Neo4j."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 81
    },
    "id": "F6C3WsDuokMr",
    "outputId": "279c4b5f-2bb1-47d0-e019-1c26a925561d"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>'done'</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>done</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "</div>"
      ],
      "text/plain": [
       "  'done'\n",
       "0   done"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['embedding'] = [el.tolist() for el in df['embedding']]\n",
    "data = list(df[['character','embedding']].T.to_dict().values())\n",
    "\n",
    "read_query(\"\"\"\n",
    "UNWIND $data as row\n",
    "MATCH (c:Character{name:row.character})\n",
    "SET c.role2vec = row.embedding\n",
    "RETURN distinct 'done'\n",
    "\"\"\", {'data':data})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yo6ivJkPfB6Q"
   },
   "source": [
    "The kNN algorithm is featured in the GDS library. The K-Nearest Neighbors algorithm computes a distance value for all node pairs in the graph and creates new relationships between each node and its k nearest neighbors. The distance is calculated based on node properties.\n",
    "We will take advantage of the Graph Catalog feature as we will run two graph algorithms in sequence. First, we store a projection of a network as a named graph using the following syntax:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 81
    },
    "id": "3wv1OW_yoqRf",
    "outputId": "9e9297bb-9686-4956-a804-8e206bcad3a9"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nodeProjection</th>\n",
       "      <th>relationshipProjection</th>\n",
       "      <th>graphName</th>\n",
       "      <th>nodeCount</th>\n",
       "      <th>relationshipCount</th>\n",
       "      <th>projectMillis</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>{'Character': {'label': 'Character', 'properti...</td>\n",
       "      <td>{'INTERACTS': {'orientation': 'NATURAL', 'inde...</td>\n",
       "      <td>role2vec</td>\n",
       "      <td>119</td>\n",
       "      <td>406</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                                      nodeProjection  \\\n",
       "0  {'Character': {'label': 'Character', 'properti...   \n",
       "\n",
       "                              relationshipProjection graphName  nodeCount  \\\n",
       "0  {'INTERACTS': {'orientation': 'NATURAL', 'inde...  role2vec        119   \n",
       "\n",
       "   relationshipCount  projectMillis  \n",
       "0                406             96  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#KNN\n",
    "\n",
    "read_query(\"\"\"\n",
    "CALL gds.graph.project('role2vec', 'Character', 'INTERACTS', {nodeProperties:['role2vec']})\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TvOobvm5fDzh"
   },
   "source": [
    "We don’t care about undirected INTERACTS relationships as we will not be using them. The important thing is that we have included the role2vec node embedding in our projection. Now, we can go ahead and mutate the kNN algorithm. Using the mutate method, we store the algorithm results back to the projected named graph instead of the Neo4j stored graph. This way, we can use the results of the kNN algorithm as an input to a community detection algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 159
    },
    "id": "H9OH_uTXqevH",
    "outputId": "a3ab7a29-7d59-441a-b44c-89ade2e53ab0"
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ranIterations</th>\n",
       "      <th>nodePairsConsidered</th>\n",
       "      <th>didConverge</th>\n",
       "      <th>preProcessingMillis</th>\n",
       "      <th>computeMillis</th>\n",
       "      <th>mutateMillis</th>\n",
       "      <th>postProcessingMillis</th>\n",
       "      <th>nodesCompared</th>\n",
       "      <th>relationshipsWritten</th>\n",
       "      <th>similarityDistribution</th>\n",
       "      <th>configuration</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>18279</td>\n",
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       "      <td>119</td>\n",
       "      <td>595</td>\n",
       "      <td>{'p1': 0.8695907592773438, 'max': 0.9993972778...</td>\n",
       "      <td>{'topK': 5, 'maxIterations': 100, 'randomJoins...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ranIterations  nodePairsConsidered  didConverge  preProcessingMillis  \\\n",
       "0              6                18279         True                    0   \n",
       "\n",
       "   computeMillis  mutateMillis  postProcessingMillis  nodesCompared  \\\n",
       "0            112             7                    -1            119   \n",
       "\n",
       "   relationshipsWritten                             similarityDistribution  \\\n",
       "0                   595  {'p1': 0.8695907592773438, 'max': 0.9993972778...   \n",
       "\n",
       "                                       configuration  \n",
       "0  {'topK': 5, 'maxIterations': 100, 'randomJoins...  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "CALL gds.knn.mutate('role2vec', {topK: 5, nodeProperties:'role2vec', mutateProperty:'weight', mutateRelationshipType:'SIMILAR_ROLE'})\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "m-Ugp35xfHdA"
   },
   "source": [
    "We will store the resulting relationships under the SIMILAR_ROLE type. One of the parameters is topK, which defines the number of neighbors to find for each node. The K-nearest neighbors are returned. Finally, we can examine the community structure of the resulted similarity network by using the Louvain algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 142
    },
    "id": "MByYnQH2rKEr",
    "outputId": "dc458e7d-37bc-4468-8d89-500bc64848c8"
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>writeMillis</th>\n",
       "      <th>nodePropertiesWritten</th>\n",
       "      <th>modularity</th>\n",
       "      <th>modularities</th>\n",
       "      <th>ranLevels</th>\n",
       "      <th>communityCount</th>\n",
       "      <th>communityDistribution</th>\n",
       "      <th>postProcessingMillis</th>\n",
       "      <th>preProcessingMillis</th>\n",
       "      <th>computeMillis</th>\n",
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       "      <td>{'p99': 33, 'min': 3, 'max': 33, 'mean': 14.87...</td>\n",
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       "      <td>{'maxIterations': 10, 'writeConcurrency': 4, '...</td>\n",
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      ],
      "text/plain": [
       "   writeMillis  nodePropertiesWritten  modularity          modularities  \\\n",
       "0           13                    119    0.612429  [0.6124285008120895]   \n",
       "\n",
       "   ranLevels  communityCount  \\\n",
       "0          1               8   \n",
       "\n",
       "                               communityDistribution  postProcessingMillis  \\\n",
       "0  {'p99': 33, 'min': 3, 'max': 33, 'mean': 14.87...                     2   \n",
       "\n",
       "   preProcessingMillis  computeMillis  \\\n",
       "0                    1           1202   \n",
       "\n",
       "                                       configuration  \n",
       "0  {'maxIterations': 10, 'writeConcurrency': 4, '...  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "CALL gds.louvain.write('role2vec', {relationshipTypes:['SIMILAR_ROLE'], writeProperty:'louvain_role'})\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 81
    },
    "id": "IbSMP_fcrZ7r",
    "outputId": "17d299f7-e7e0-4e90-b493-a493d16f57b7"
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   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>writeMillis</th>\n",
       "      <th>graphName</th>\n",
       "      <th>relationshipType</th>\n",
       "      <th>relationshipProperty</th>\n",
       "      <th>relationshipsWritten</th>\n",
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       "      <th>0</th>\n",
       "      <td>183</td>\n",
       "      <td>role2vec</td>\n",
       "      <td>SIMILAR_ROLE</td>\n",
       "      <td>weight</td>\n",
       "      <td>595</td>\n",
       "      <td>595</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   writeMillis graphName relationshipType relationshipProperty  \\\n",
       "0          183  role2vec     SIMILAR_ROLE               weight   \n",
       "\n",
       "   relationshipsWritten  propertiesWritten  \n",
       "0                   595                595  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "read_query(\"\"\"\n",
    "CALL gds.graph.writeRelationship('role2vec', 'SIMILAR_ROLE', 'weight')\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "gwtNKPoDfPOI"
   },
   "source": [
    "# Conclusion\n",
    "The Karate Club package includes node embedding models that take into consideration also node properties. Unfortunately, we don’t have any node properties in our simple Harry Potter network, so I skipped them. Nevertheless, the node embedding research field is fascinating, and there are many approaches to what type of information you want to extract from the network. Hopefully, this simple integration of the Neo4j and Karate Club project will help you use the node embedding models that will work best for you."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "qIE2xSAgfQai"
   },
   "outputs": [],
   "source": []
  }
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